Christian Igel

Professor at University of Copenhagen

Igel develops machine-learning methods that remain useful when data are limited, uncertain, or costly. His work spans evolutionary optimization, kernel methods, deep learning, and reliable AI, and he has helped build major Danish research institutions around responsible and sustainable AI.